The impact of credit policy on rice production in Myanmar: A fuzzy regression discontinuity design approach
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Aung, Nilar
Nguyen, Hoa-Thi-Minh
Sparrow, Robert
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Crawford School of Public Policy, The Australian National University
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Open Access
Abstract
Rural finance has long been an important tool for poverty reduction and rural
development by donors and governments, but the impacts have been
controversial. Measuring impact is challenging due to identification problems
caused by selection bias and governments' targeted interventions, while
randomised trial data is scarce and limited to contexts where little to no rural
fiance exists. Using an author-collected data set, we provide insights on a largescale long-lasting subsidized rice credit programme in Myanmar, one of the
poorest and, until recently, most economically isolated countries in Asia.
Identification relies on a fuzzy regression discontinuity design, exploiting an
arbitrary element to the credit provision rule which is based on rice land holding
size. Although we find little evidence that rice yield or output is increased, we do see that the program has some positive effects on total household income,
suggesting a positive spillover effect on other farm income activities.
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